TITLE:
Spatiotemporal Analysis of Urban Sprawl and Its Contributions to Climate and Environment of Peshawar Using Remote Sensing and GIS Techniques
AUTHORS:
Rashid Mehmood, Syed Amer Mehmood, Muhammad Atif Butt, Imtiyaz Younas, Muhammad Adrees
KEYWORDS:
Remote Sensing, Geographic Information System (GIS), Landsat, Anthropogenic Data, Climate, Change Detection Techniques
JOURNAL NAME:
Journal of Geographic Information System,
Vol.8 No.2,
March
23,
2016
ABSTRACT: This research study
predominantly emphases on spatiotemporal extensions of urban area of Peshawar;
its adverse impacts and contributions to climate and environment during 1931 to
2011. To probe these interventions, meteorological data, Satellite’s temporal
imagery of Landsat ETM+ and TM, anthropogenic and demographic secondary data
were congregated. In relation to map out land cover changes, maximum likelihood
classification algorithm and followed by change detection techniques were
applied to study area. The outcome of this process was further subjected
through Geographic Information System (GIS) overlay analysis which suggested a
clear straggle in urban area. Auxiliary data (Population growth rate,
transportation, electricity connections, etc.) also support the fact of urban
area extension. This study proposes that severs contributions of massive heat
energy and CO2have
been added to local climate and environment ensuing substantial increment in
temperature drawn out from the trends. Consequently, Remote Sensing, GIS and
allied data were found to be effective to gauge such variations. To eliminate
anomalies in sprawl and environment, few suggestions and recommendation are
made in latter part of this study.